This article discusses how to select a cost-effective LLM API gateway for fintech applications, emphasizing structured output correctness over low token rates. It proposes a testing methodology using a fixed fixture of 50 diverse support tickets to evaluate gateways like OpenAI, Anthropic's Claude API, and Google's Gemini API. The evaluation focuses on schema validity, exact agreement on classification, and handling of malformed data, rather than just raw speed or cost. AI
IMPACT Provides practical guidance for developers integrating LLMs into fintech applications, focusing on reliable output and cost-efficiency.
RANK_REASON Article provides guidance on selecting and testing LLM API gateways for specific use cases, rather than announcing a new product or research.
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